Wentao Zhang

Yuan Yuan

Yong Li

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

CompressGNN: Accelerating Graph Neural Network Training via Hierarchical Compression.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

IPDreamer: Appearance-Controllable 3D Object Generation with Complex Image Prompts.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

SysBench: Can LLMs Follow System Message?

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Facilitating Multi-turn Function Calling for LLMs via Compositional Instruction Tuning.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

PAS: Plug-and-Play Prompt Augmentation System.

[BibT_eX]

[DOI]

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Towards Scalable and Efficient Graph Structure Learning.

[BibT_eX]

[DOI]

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

DataSculpt: A Holistic Data Management Framework for Long-Context LLMs Training.

[BibT_eX]

[DOI]

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Training Data Distribution Estimation for Optimized Pre-training Data Management.

[BibT_eX]

[DOI]

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Training-Free Heterogeneous Graph Condensation via Data Selection.

[BibT_eX]

[DOI]

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Towards Precise Scaling Laws for Video Diffusion Transformers.

[BibT_eX]

[DOI]

Victor Shea-Jay Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

CFBench: A Comprehensive Constraints-Following Benchmark for LLMs.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

MM-Verify: Enhancing Multimodal Reasoning with Chain-of-Thought Verification.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Enhancing Unsupervised Sentence Embeddings via Knowledge-Driven Data Augmentation and Gaussian-Decayed Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Efficient Pretraining Data Selection for Language Models via Multi-Actor Collaboration.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Towards Scalable and Deep Graph Neural Networks via Noise Masking.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Graphusion: Latent Diffusion for Graph Generation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., November, 2024

Distributed Graph Neural Network Training: A Survey.

[BibT_eX]

[DOI]

ACM Comput. Surv., August, 2024

OUTRE: An OUT-of-core De-REdundancy GNN Training Framework for Massive Graphs within A Single Machine.

[BibT_eX]

[DOI]

Proc. VLDB Endow., July, 2024

Diffusion Models: A Comprehensive Survey of Methods and Applications.

[BibT_eX]

[DOI]

ACM Comput. Surv., April, 2024

LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation Learning.

[BibT_eX]

[DOI]

Proc. VLDB Endow., March, 2024

Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., February, 2024

OpenBox: A Python Toolkit for Generalized Black-box Optimization.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2024

Memory-enhanced Invariant Prompt Learning for Urban Flow Prediction under Distribution Shifts.

[BibT_eX]

[DOI]

Haiyang Jiang

Tong Chen

Nguyen Quoc Viet Hung

Yuan Yuan

Yong Li

Lizhen Cui

CoRR, 2024

MC-LLaVA: Multi-Concept Personalized Vision-Language Model.

[BibT_eX]

[DOI]

CoRR, 2024

Toward Personalized Federated Node Classification in One-shot Communication.

[BibT_eX]

[DOI]

CoRR, 2024

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs.

[BibT_eX]

[DOI]

CoRR, 2024

EVQAScore: Efficient Video Question Answering Data Evaluation.

[BibT_eX]

[DOI]

Hao Liang

Zirong Chen

CoRR, 2024

SiriusBI: Building End-to-End Business Intelligence Enhanced by Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Document Parsing Unveiled: Techniques, Challenges, and Prospects for Structured Information Extraction.

[BibT_eX]

[DOI]

Qintong Zhang

Victor Shea-Jay Huang

CoRR, 2024

Baichuan Alignment Technical Report.

[BibT_eX]

[DOI]

CoRR, 2024

FB-Bench: A Fine-Grained Multi-Task Benchmark for Evaluating LLMs' Responsiveness to Human Feedback.

[BibT_eX]

[DOI]

CoRR, 2024

Multi-Agent Collaborative Data Selection for Efficient LLM Pretraining.

[BibT_eX]

[DOI]

CoRR, 2024

Trans4D: Realistic Geometry-Aware Transition for Compositional Text-to-4D Synthesis.

[BibT_eX]

[DOI]

CoRR, 2024

Gradual Learning: Optimizing Fine-Tuning with Partially Mastered Knowledge in Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

BEATS: Optimizing LLM Mathematical Capabilities with BackVerify and Adaptive Disambiguate based Efficient Tree Search.

[BibT_eX]

[DOI]

CoRR, 2024

Data Proportion Detection for Optimized Data Management for Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Retrofitting Temporal Graph Neural Networks with Transformer.

[BibT_eX]

[DOI]

CoRR, 2024

DataSculpt: Crafting Data Landscapes for LLM Post-Training through Multi-objective Partitioning.

[BibT_eX]

[DOI]

CoRR, 2024

OpenFGL: A Comprehensive Benchmarks for Federated Graph Learning.

[BibT_eX]

[DOI]

CoRR, 2024

BaichuanSEED: Sharing the Potential of ExtensivE Data Collection and Deduplication by Introducing a Competitive Large Language Model Baseline.

[BibT_eX]

[DOI]

CoRR, 2024

SEA: Supervised Embedding Alignment for Token-Level Visual-Textual Integration in MLLMs.

[BibT_eX]

[DOI]

CoRR, 2024

SysBench: Can Large Language Models Follow System Messages?

[BibT_eX]

[DOI]

CoRR, 2024

MathScape: Evaluating MLLMs in multimodal Math Scenarios through a Hierarchical Benchmark.

[BibT_eX]

[DOI]

CoRR, 2024

CFBench: A Comprehensive Constraints-Following Benchmark for LLMs.

[BibT_eX]

[DOI]

CoRR, 2024

Synth-Empathy: Towards High-Quality Synthetic Empathy Data.

[BibT_eX]

[DOI]

CoRR, 2024

SynthVLM: High-Efficiency and High-Quality Synthetic Data for Vision Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

PAS: Data-Efficient Plug-and-Play Prompt Augmentation System.

[BibT_eX]

[DOI]

CoRR, 2024

KeyVideoLLM: Towards Large-scale Video Keyframe Selection.

[BibT_eX]

[DOI]

CoRR, 2024

Consistency Flow Matching: Defining Straight Flows with Velocity Consistency.

[BibT_eX]

[DOI]

CoRR, 2024

Efficient-Empathy: Towards Efficient and Effective Selection of Empathy Data.

[BibT_eX]

[DOI]

CoRR, 2024

A Survey of Multimodal Large Language Model from A Data-centric Perspective.

[BibT_eX]

[DOI]

CoRR, 2024

EditWorld: Simulating World Dynamics for Instruction-Following Image Editing.

[BibT_eX]

[DOI]

CoRR, 2024

Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition.

[BibT_eX]

[DOI]

CoRR, 2024

Acceleration Algorithms in GNNs: A Survey.

[BibT_eX]

[DOI]

CoRR, 2024

Spatial-temporal Memories Enhanced Graph Autoencoder for Anomaly Detection in Dynamic Graphs.

[BibT_eX]

[DOI]

CoRR, 2024

Retrieval-Augmented Generation for AI-Generated Content: A Survey.

[BibT_eX]

[DOI]

CoRR, 2024

Graph Condensation: A Survey.

[BibT_eX]

[DOI]

CoRR, 2024

Rethinking Node-wise Propagation for Large-scale Graph Learning.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

NPA: Improving Large-scale Graph Neural Networks with Non-parametric Attention.

[BibT_eX]

[DOI]

Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

MMGCL: Meta Knowledge-Enhanced Multi-view Graph Contrastive Learning for Recommendations.

[BibT_eX]

[DOI]

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Distribution-Aware Data Expansion with Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Efficient Multi-task LLM Quantization and Serving for Multiple LoRA Adapters.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Graph Condensation for Open-World Graph Learning.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Interaction-based Retrieval-augmented Diffusion Models for Protein-specific 3D Molecule Generation.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

NC-ALG: Graph-Based Active Learning Under Noisy Crowd.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

BIM: Improving Graph Neural Networks with Balanced Influence Maximization.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Multi- View Teacher with Curriculum Data Fusion for Robust Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

HGAMLP: Heterogeneous Graph Attention MLP with De-Redundancy Mechanism.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation.

[BibT_eX]

[DOI]

Bin Cui

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Graph Condensation for Inductive Node Representation Learning.

[BibT_eX]

[DOI]

Kai Zheng

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Physics-guided Active Sample Reweighting for Urban Flow Prediction.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

MetaGXplore: Integrating Multi-Omics Data with Graph Convolutional Networks for Pan-cancer Patient Metastasis Identification.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Towards Effective and General Graph Unlearning via Mutual Evolution.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

P<sup>2</sup>CG: a privacy preserving collaborative graph neural network training framework.

[BibT_eX]

[DOI]

VLDB J., July, 2023

VolcanoML: speeding up end-to-end AutoML via scalable search space decomposition.

[BibT_eX]

[DOI]

VLDB J., March, 2023

Lasagne: A Multi-Layer Graph Convolutional Network Framework via Node-Aware Deep Architecture.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2023

FedGTA: Topology-aware Averaging for Federated Graph Learning.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2023

Towards General and Efficient Online Tuning for Spark.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2023

Scapin: Scalable Graph Structure Perturbation by Augmented Influence Maximization.

[BibT_eX]

[DOI]

Proc. ACM Manag. Data, 2023

Graph Neural Networks in Recommender Systems: A Survey.

[BibT_eX]

[DOI]

ACM Comput. Surv., 2023

Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning.

[BibT_eX]

[DOI]

CoRR, 2023

VQGraph: Graph Vector-Quantization for Bridging GNNs and MLPs.

[BibT_eX]

[DOI]

CoRR, 2023

OpenBox: A Python Toolkit for Generalized Black-box Optimization.

[BibT_eX]

[DOI]

CoRR, 2023

Transfer Learning for Bayesian Optimization: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

Improving Diffusion-Based Image Synthesis with Context Prediction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Rover: An Online Spark SQL Tuning Service via Generalized Transfer Learning.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Fairness-aware Maximal Biclique Enumeration on Bipartite Graphs.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks.

[BibT_eX]

[DOI]

Nguyen Quoc Viet Hung

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Graph-Enforced Neural Network for Attributed Graph Clustering.

[BibT_eX]

[DOI]

Proceedings of the Web and Big Data - 7th International Joint Conference, 2023

ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-Cost Proxies.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Spatio-Temporal Meta Learning for Urban Traffic Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2022

Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training.

[BibT_eX]

[DOI]

CoRR, 2022

Efficient Graph Neural Network Inference at Large Scale.

[BibT_eX]

[DOI]

Xinyi Gao

Yingxia Shao

Bin Cui